CortexOne is Rival's accelerated execution layer, built to run AI workloads faster, cheaper, and without hyperscaler lock-in.
Developers don't control where or how code runs
Faster Execution
Optimized runtime and compute orchestration for AI workloads.
Lower Cost
Reduced overhead vs general-purpose cloud infrastructure.
Workload-Aware Compute
CPU/GPU selection based on function needs, not vendor defaults.
Infrastructure Independence
Designed to avoid hyperscaler lock-in from day one.
Workload analysis at runtime
Isolation and security controls
Smart resource allocation
Performance and usage reporting
Input
Workloads enter CortexOne with context.
Functions, agents, and workflows are submitted with execution, performance, and data requirements so each request is treated as a distinct unit of work.
Intelligent Routing
The fastest path is selected automatically.
CortexOne evaluates available compute at runtime and routes each workload to the environment that delivers the best performance and cost outcome.
Optimized Runtime
Execution adapts to the workload.
Resources are allocated dynamically so workloads run efficiently without over-provisioning or idle capacity.
Secure Execution
Protection is enforced during runtime.
Isolation and security controls are applied while workloads run, keeping data and logic protected throughout execution.
Measured Output
Every run produces actionable signals.
Performance and usage data are captured to provide visibility into cost and efficiency and to improve future routing decisions.
Supports real workloads, not demos
Designed for scale and repeatability
Predictable performance profiles
Compatible with enterprise governance and compliance needs
Whether you're here to use powerful AI functions or turn your work
into income, Rival is the marketplace built for both sides.
